Results 171 to 180 of about 5,260 (224)
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Classification of Automotive Targets Using Inverse Synthetic Aperture Radar Images
IEEE Transactions on Intelligent Vehicles, 2021Traditionally, point cloud representations or Doppler spectrograms have been generated from short-range automotive radars for dynamic object detection and classification.
Neeraj Pandey, S. S. Ram
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Automatic Identification of Satellite Features from Inverse Synthetic Aperture Radar (ISAR) Images
Andrew Begg +3 more
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Jointly Using Low-Rank and Sparsity Priors for Sparse Inverse Synthetic Aperture Radar Imaging
IEEE Transactions on Image Processing, 2020The inverse synthetic aperture radar (ISAR) imaging technique of a moving target with sparse sampling data has attracted wide attention due to its ability to reduce the data collection burden.
Wei Qiu, Jianxiong Zhou, Q. Fu
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Inverse Synthetic Aperture Radar Imaging Using a Fully Convolutional Neural Network
IEEE Geoscience and Remote Sensing Letters, 2020The traditional inverse synthetic aperture radar (ISAR) imaging uses the range-Doppler (RD) type of methods. The compressive sensing (CS)-based ISAR imaging is capable of obtaining good target images of high contrast and less sidelobe with much less ...
Changyu Hu, Ling Wang, Ze Li, Daiyin Zhu
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Database Of Simulated Inverse Synthetic Aperture Radar Images For Short Range Automotive Radar
Radar, 2020Inverse synthetic aperture radar (ISAR) images of dynamic targets have been used for automatic target recognition purposes. Limited experimental data of ISAR images of automotive targets are currently available to the radar community.
Neeraj Pandey, Gaurav Duggal, S. S. Ram
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Microwave and optical technology letters (Print), 2020
In this study, a novel multi‐objective (MO) motion compensation (MC) technique is proposed to clear blur effects in the inverse synthetic aperture radar (ISAR) images resulted by the translational motion of the target.
E. Yiğit
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In this study, a novel multi‐objective (MO) motion compensation (MC) technique is proposed to clear blur effects in the inverse synthetic aperture radar (ISAR) images resulted by the translational motion of the target.
E. Yiğit
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Optical Engineering: The Journal of SPIE, 2020
. We explore the blending of model-based and deep learning approaches for target recognition in inverse synthetic aperture radar (ISAR) imagery. It evaluates five different approaches, namely, a model-based geometric hashing approach, a supervised deep ...
Rajkumar Theagarajan +7 more
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. We explore the blending of model-based and deep learning approaches for target recognition in inverse synthetic aperture radar (ISAR) imagery. It evaluates five different approaches, namely, a model-based geometric hashing approach, a supervised deep ...
Rajkumar Theagarajan +7 more
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Inverse Synthetic Aperture Radar Imaging Using Fourier Transform Technique
2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT), 2019Inverse Synthetic Aperture Radar (ISAR) imaging techniques are used to estimate the target spatial image using target backscatter data. In the ISAR measurement environment, the target is often modeled as a collection of point scatterers to take advantage
Priyanka Shakya, A. B. Bazil Raj
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IEEE Transactions on Geoscience and Remote Sensing, 2019
This paper proposes a novel approach to interpreting the satellite attitude based on inverse synthetic aperture radar (ISAR) images. In the conventional viewpoint, quadratic and higher order phase terms of ISAR imagery are regarded as negative factors ...
Yejian Zhou, Lei Zhang, Yunhe Cao
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This paper proposes a novel approach to interpreting the satellite attitude based on inverse synthetic aperture radar (ISAR) images. In the conventional viewpoint, quadratic and higher order phase terms of ISAR imagery are regarded as negative factors ...
Yejian Zhou, Lei Zhang, Yunhe Cao
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An Inverse Synthetic Aperture Radar Image Modulation Method Based on Coding Phase-Switched Screen
IEEE Sensors Journal, 2019Multiple false target images deception is an effective strategy to protect vital military targets from detection and recognition by inverse synthetic aperture radar (ISAR).
Junjie Wang +4 more
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